Linear programming (LP), a well-established technique for modelling agricul
tural and other systems, has been extensively used to model irrigation syst
ems in Australia. The models constructed have been used to assess the effec
ts of changing water charges on farm incomes, water use, and the effects of
trade in water allocations. An LP model that reflects actual farm behaviou
r requires a large amount of data. Moreover, demand and supply functions es
timated with LP models are necessarily stepped rather than smooth. Howitt h
as suggested a way of escaping from these problems of LP models. His positi
ve programming approach replaces an LP model with a simpler quadratic progr
amming model. In this paper, Howitt's approach is used to develop a quadrat
ic programming model from an existing LP model of irrigated agriculture in
the southern Murray-Darling basin of Australia. A comparison of the quadrat
ic and linear models indicates that the quadratic programming model is smal
ler and simpler to specify and that it produces similar results to the line
ar model, in terms of cropping, trade, and demand for irrigation water. The
choice of modelling technique depends on the problem and the available res
ources. Positive programming can be a valuable addition to the farm modelle
rs' arsenal. (C) 2001 Elsevier Science Ltd. All rights reserved.